Example: stock market

Advanced Topics in Predictive Analytics Draft Syllabus

Learning Outcomes The Candidate will be able to: a) Explain, fit, evaluate, and make predictions with each of the following models: • Additive models • Linear mixed models • Neural networks b) Apply Bayesian techniques to predictive models c) Compare model results with those from linear and tree-based methods.

Tags:

  Outcome

Information

Domain:

Source:

Link to this page:

Please notify us if you found a problem with this document:

Other abuse

Advertisement

Transcription of Advanced Topics in Predictive Analytics Draft Syllabus

Related search queries